A Joint Model for Structure-based News Genre Classification with Application to Text Summarization (2021.findings-acl)
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| Challenge: | Existing models for structure-based news genre classification identify news structure types and news elements . authors show that the model outperforms variants that perform two tasks independently . |
| Approach: | They propose a joint model that identifies one of four commonly used news structures for a news article and recognizes a sequence of news elements within the article that define the corresponding news structure. |
| Outcome: | The proposed model outperforms variants that perform two tasks independently . it predicts news structure type and news elements and improves text summarization . |
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